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Federated and Transfer Learning - Razavi-Far, Roozbeh (Editor), and Wang, Boyu (Editor), and Taylor, Matthew E (Editor)
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This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many ...

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Federated and Transfer Learning 2023, Springer, Cham

ISBN-13: 9783031117503

2023 edition

Trade paperback

Federated and Transfer Learning 2022, Springer International Publishing AG, Cham

ISBN-13: 9783031117473

Hardcover